Animal Sciences

Cinda Mason smiling.

Nov. 15, 2017

Cinda Mason

Nov. 15, 2017

Jason Dowell

Nov. 15, 2017

Rick Disselhorst

white woman with short blonde hair wearing a light blue shirt

Nov. 15, 2017

Tina Carmack

Addison Bryne

Nov. 15, 2017

Addison Byrne

Nov. 14, 2017

Amber Neely

Eric Bailey smiling.

Nov. 13, 2017

Eric Bailey

Eric Bailey is an Associate Professor and State Beef Nutrition Specialist at the University of Missouri. Bailey holds a Ph.D. in Beef Cattle Nutrition from Kansas State University. Bailey leads applied research on backgrounding and stocker cattle, with an emphasis on management of them on tall fescue pasture systems. Bailey leads the MU Extension Feedlot School program, is co-coordinator of the Missouri Grazing Schools, and the co-director of the Forage-Livestock Program of Distinction. Educational background Ph.D., Kansas State University…

Thomas Spencer

Nov. 10, 2017

Thomas Spencer

Spencer’s laboratory seeks to define critical physiological and genetic pathways that regulate uterine development, function, and regeneration in order to improve reproduction and health of women and animals. His earlier work established that the glands of the uterus are essential for embryo survival and growth using the ovine uterine gland knockout model. Subsequent research revealed fundamental aspects of postnatal uterine development and uterine receptivity as well as illuminated the evolutionary biology and functional role of endogenous retroviruses in placental development. Current research foci in his lab include: cellular and molecular mechanisms governing development of the uterus; maternal and paternal regulation…

Christine Elsik smiling.

Nov. 10, 2017

Christine Elsik

Educational background Ph.D., Genetics, Texas A&M University Courses taught AN_SCI/PLNT_SCI 8430: Introduction to Bioinformatics Programming…

Portrait of Jared Decker

Nov. 10, 2017

Jared E. Decker

IDENTIFYING LOCI RESPONDING TO SELECTIONIn 2012 Decker published a method, now called Generation-Proxy Selection Mapping, to identify loci responding to current selection. In this analysis, birth date (as a surrogate to generation number) is fit as the dependent variable in a mixed model equation. Variants that have changed in frequency rapidly due to selection are strongly associated with birth date, thus the method identifies regions under selection. The mixed model equations correct for demography, relatedness, and population structure within the data. We have previously used this method in Angus cattle using approximately 45,000 SNPs. In 2021, Decker’s group published…